Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks

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	Similar Articles Articles by André S. Henriques Articles by Aluizio F.R. Araújo Articles by Silvio Morato

IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	André S. Henriques, Aluizio F.R. Araújo, Silvio Morato, "Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 4, pp. 4017, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.860737, author = {André S. Henriques and Aluizio F.R. Araújo and Silvio Morato}, title = {Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {4}, year = {2000}, issn = {1098-7576}, pages = {4017}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860737}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks SN - 1098-7576 SP EP A1 - André S. Henriques, A1 - Aluizio F.R. Araújo, A1 - Silvio Morato, PY - 2000 VL - 4 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

André S. Henriques, University of S?o Paulo

Aluizio F.R. Araújo, University of S?o Paulo

Silvio Morato, University of S?o Paulo

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860737

An unsupervised neural network that uses Hebbian and anti-Hebbian learning (HAHL model) was implemented to determine levels of anxiety of rats by clustering these animals based on their behavior in the elevated plus maze. The HAHL model showed capacity to generalize, being trained with only 1/6 of the total of patterns, and was able to identify fine details during the clustering, i.e. sensibility to context and scale. Analysis of the results showed that the proposed model was able to coherently cluster the animals in different exploratory activities, and consequently, in different levels of anxiety.

Citation:

André S. Henriques, Aluizio F.R. Araújo, Silvio Morato, "Clustering Exploratory Activity in an Elevated Plus-Maze with Neural Networks," ijcnn, vol. 4, pp.4017, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000

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